UI/UX Frontend Engineer, Symbolica AI

£85-130k

Early-stage equity package

React

TypeScript

JavaScript

Mid, Senior and Expert level

London

Onsite role

5 days a week in office (Old Street/Shoreditch, London)

Building structured cognition in machines

Be an early applicant

Building structured cognition in machines

1-20 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaSScience

Be an early applicant

£85-130k

Early-stage equity package

React

TypeScript

JavaScript

Mid, Senior and Expert level

London

Onsite role

5 days a week in office (Old Street/Shoreditch, London)

1-20 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaSScience

Company mission

To bridge the gap between theoretical mathematics and cutting-edge AI, creating symbolic reasoning models that think like humans - precise, logical, and interpretable.

Job

Company

Role

Who you are

Excellent at translating complex ideas into simple, usable UI/UX
Proficient in TypeScript and React
Comfortable prototyping quickly and shipping production-ready code
Passionate about seamless design and building products with an excellent developer experience
Experience working on machine learning and/or AI projects
Experience building scalable, responsive web apps, including RESTful APIs and GraphQL
Passion for writing clean, maintainable, and well-documented code
Effective communication skills and a collaborative mindset to work across diverse teams

Desirable

Experience with Rust on the backend

What the job involves

Own the first impressions and technical storytelling for a new developer-facing product
Design and implement intuitive, responsive UI/UX for complex systems
Build, test, and iterate on functional prototypes based on real user needs
Collaborate with researchers, engineers, and product leads to turn ideas into polished features
Create and maintain reusable frontend components and design systems
Debug performance issues and run A/B tests to continuously improve UX

Salary benchmarks

Our take

Right now, most AI works by crunching massive amounts of data using increasingly massive computers. But experts say we're hitting a wall, with bigger models costing more, using more energy, and quite frankly, plateauing in quality.

That's where Symbolica AI steps in. Instead of building AI that just mimics patterns, Symbolica is creating models that reason (think logic, math, and structure over brute force guesswork). Using advanced math called category theory (it's as brainy as it sounds), it's building smaller, smarter AI that can explain answers and make decisions you can actually understand. It's pretty much a mix of old-school symbolic AI and new neural networks.

It's still early days for the company, but it is making waves, with serious funding and a dream team from Tesla and Neuralink. And its first product, a code-generating AI, is set to be released very soon. Of course, it's battling AI giants with deep pockets and tons of data, but if Symbolica's gamble on structure over scale pays off, it might just be the blueprint for AI's next big leap.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.4)

Company

Funding (2 rounds)

Apr 2024

$24.8m

SERIES A

Nov 2023

$8.3m

SEED

Total funding: $33m

Company HQ

SoMa, San Francisco, CA

Leadership

George Morgan

(Co-Founder & CEO)

Previously spent 4 years at Tesla as an Autopilot Software Engineer. Prior to that, they founded Flipper Engineering where they served as the Lead Developer for over 4 years.

Jonathan Frydman

(CPO)

Jonathan graduated from The University of British Columbia with a BASc in Mechanical Engineering. Previously spent 3 years at Tesla as a Product Design Engineer and Senior Software Product Manager.

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